Sync behavioral event data and session analytics from FullStory directly into Snowflake. Stop manually exporting CSV files, writing custom ETL scripts, or waiting on engineering to build data pipelines for user experience insights.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every click, scroll, rage click, and custom event from FullStory and write it to structured Snowflake tables. Keep your data warehouse continuously updated with fresh user interaction data without batch export delays or manual imports.
Push session IDs, duration, error counts, frustration signals, and conversion outcomes from FullStory into Snowflake on a schedule. Join behavioral analytics with product, revenue, and support data to quantify the ROI of UX improvements.
Pull account tier, LTV, cohort, or feature flags from Snowflake and append them to FullStory sessions. Segment session replays and heatmaps by high-value customers or specific user attributes stored in your warehouse.
Query Snowflake to join FullStory rage clicks, dead clicks, and error sessions with CRM, revenue, and support ticket data. Automatically compile reports showing which friction points cost the most revenue or correlate with churn.
Monitor FullStory error events for users flagged as enterprise or high LTV in Snowflake. Trigger notifications to Slack or ticket systems when specific customer segments encounter checkout failures, form errors, or other friction points.
Continuously export FullStory session metadata, funnel analytics, and conversion metrics into Snowflake for permanent storage. Build multi-year trend dashboards or train ML models on historical user behavior without storage limits.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize FullStory and Snowflake with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands FullStory's event schemas and behavioral data structures alongside Snowflake's table formats, data types, and warehouse architecture.
Redbird reads FullStory's event payloads—including custom events, user properties, session metadata, and frustration signals—and intelligently maps them to Snowflake table structures. It handles nested JSON from behavioral data, creates appropriate data types for timestamps and metrics, and maintains referential integrity between session and event tables. No manual schema design or field mapping configuration required.
faster than building custom ETL pipelines for FullStory data
Redbird can pull from FullStory and Snowflake simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either FullStory or Snowflake.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from FullStory into Snowflake, or from Snowflake back into FullStory. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any FullStory behavioral event or Snowflake table change—Redbird handles the connection logic.
Fires when FullStory captures rage clicks, error clicks, or thrashed cursor movements in a user session.
Triggers when a user exits a defined funnel at a specific step without completing.
Activates when FullStory receives a custom tracking event you've instrumented in your product.
Build a new user segment in FullStory based on attributes or behaviors identified in external data.
Apply custom tags or properties to specific sessions for easier filtering and replay discovery.
Enrich FullStory user profiles with attributes from your data warehouse or other business systems.
Fires when fresh data lands in a Snowflake table from ETL processes or upstream systems.
Triggers when a recurring analytical query finishes running in Snowflake on a defined schedule.
Activates when a metric derived from Snowflake data crosses a specified value or condition.
Write new records to a Snowflake table with automatic schema matching and data type conversion.
Modify rows in Snowflake based on matching keys, merging new attributes with historical data.
Run custom SQL against Snowflake tables and return results for downstream processing or reporting.
Sync FullStory session data and behavioral events into Snowflake automatically. Stop waiting on engineering to build and maintain custom data pipelines for user experience analytics.